Nonlinear adaptive control based on dynamic approximate any higher-order nonlinearization

Abstract

The adaptive control algorithm, the parameter adaptive recursive predicting and noise estimator unified form are presented for a class of nonlinear discrete-time systems with multiple time delays based on dynamic approximate any higher-order nonlinearization increment minimized recursive predicting model of NARMAX model(with time delays and noise increment any higher-order Hammerstein model). the adaptive control is employed for nonlinear systems with heavy multiple time delays. the simulation result for several typical nonlinear systems are given to demonstrate the correctness and effectiveness of approach proposed..